AI Engineering Associate Director

NTT
Plano
Workplace: RemoteFull timeUSD 151,400 - 202,500 annuallyFunction: Data Science & Machine LearningExperience: 6+ yearsEducation: bachelorsSkills: ["Clear communication","Collaboration","Client delivery","Teamwork","Technical credibility"]

Design, build, test, and deploy AI, machine learning, and generative AI solutions for clients, translating AI opportunities into scalable, secure, and reusable products. Create AI-enabled applications, APIs, copilots, chat interfaces, and workflow automations using modern AI engineering patterns like RAG, embeddings, vector search, and agentic workflows. Partner with architects, data scientists, and engineers while developing data pipelines, model-ready datasets, and proofs of concept to support sales and delivery.

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FursaFursa
NTT
NTT
3 months ago

AI Engineering Associate Director

✓ Verified Job

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Source: Company careers pageValidated by: Fursa AI
Last checked: 6 days agoStatus: Live

Job Summary

Design, build, test, and deploy AI, machine learning, and generative AI solutions for clients, translating AI opportunities into scalable, secure, and reusable products. Create AI-enabled applications, APIs, copilots, chat interfaces, and workflow automations using modern AI engineering patterns like RAG, embeddings, vector search, and agentic workflows. Partner with architects, data scientists, and engineers while developing data pipelines, model-ready datasets, and proofs of concept to support sales and delivery.
Location: Plano
Workplace: Remote
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Director level

Key Responsibilities

  • •Design, develop, and implement AI and generative AI solutions across healthcare, life science, and public sector domains.
  • •Build AI-enabled applications, services, APIs, copilots, chat interfaces, workflow automations, dashboards, and decision-support tools.
  • •Develop solutions using modern AI engineering patterns including retrieval-augmented generation, embeddings, vector search, prompt engineering, model orchestration, and agentic workflows.
  • •Build and maintain data pipelines, integration services, feature preparation workflows, knowledge bases, and model-ready datasets.
  • •Integrate AI models and services from major cloud providers, commercial model providers, open-source frameworks, and enterprise platforms, then deploy and support operational handoff.

Pay and Benefits

Salary: USD 151,400 - 202,500 annually
Perks:Health InsuranceDentalVisionLife InsurancePaid Leave401k

Key Requirements

  • •Bachelor’s degree in computer science, information systems, engineering, data science, analytics, or a related field (or equivalent practical experience).
  • •6+ years of experience in software engineering, data engineering, AI engineering, machine learning engineering, analytics engineering, or technical consulting.
  • •Hands-on experience building AI, machine learning, generative AI, analytics, automation, or data-driven applications.
  • •Practical experience with generative AI patterns such as prompt engineering, retrieval-augmented generation, embeddings, vector databases, LLM integration, model evaluation, and API-based model orchestration.
  • •Proficiency in Python and SQL, with experience using common data, AI, and application development libraries/frameworks.
Experience:6+ years
Education:Bachelor's in computer science, information systems, engineering, data science, analytics, or a related field
Skills:Clear communicationCollaborationClient deliveryTeamworkTechnical credibility
Tech Stack:PythonSQLAIMachine learningGenerative AIRetrieval-augmented generationEmbeddingsVector searchVector databasesPrompt engineeringLLM integrationModel evaluationAPI-based model orchestrationNatural language processingDocument intelligencePredictive analyticsAzureAWSGoogle CloudAPIs

Company Brief

NTT
Dimension Data, operating under NTT Ltd, provides managed IT services, cloud and data center solutions, networking, cybersecurity, and digital transformation services to enterprise customers worldwide.
Industry: Professional Services
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Established Company
Valuation: Public Company (Market Cap in USD)
Headquarters: London, United Kingdom
Founded: 1983
WebsiteLinkedIn